US 12,112,270 B2
Deliberate conditional poison training for generative models
Nicholas Malaya, Austin, TX (US)
Assigned to Advanced Micro Devices, Inc., Santa Clara, CA (US)
Filed by Advanced Micro Devices, Inc., Santa Clara, CA (US)
Filed on Aug. 9, 2021, as Appl. No. 17/397,249.
Application 17/397,249 is a division of application No. 16/208,384, filed on Dec. 3, 2018, granted, now 11,087,170.
Prior Publication US 2022/0027674 A1, Jan. 27, 2022
Int. Cl. G06N 3/084 (2023.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/28 (2023.01); G06N 3/04 (2023.01); G06N 3/088 (2023.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)
CPC G06N 3/084 (2013.01) [G06F 18/2148 (2023.01); G06F 18/217 (2023.01); G06F 18/28 (2023.01); G06N 3/04 (2013.01); G06N 3/088 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A generator configured to generate artificial data, the generator comprising:
a first artificial neural network (ANN) configured to input first information and output a set of artificial data based on the first information;
wherein the set of artificial data is configured to be classifiable using a first label of a set of labeled data, within a first threshold accuracy, by a second ANN; and
wherein the set of artificial data is configured to be incorrectly classified using a second label of the set of labeled data, within a second threshold accuracy, by the second ANN.